Azure Data Architect with ETL, SSIS/SSRS, SQL

McLean, VA, US • Posted 5 hours ago • Updated 1 hour ago
Contract Corp To Corp
On-site
$65/Hr on C2C
Fitment

Dice Job Match Score™

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Job Details

Skills

  • SQL
  • Data Architect
  • ETL
  • Azure
  • SSIS
  • SSRS

Summary

Role: Azure Data Architect

Location: McLean VA 22102 (100% Onsite) - Need candidates local to / in & around McLean VA, as we have In-person client interview

Type of Hire C2C
Skills: Data Architect, ETL, SSIS/SSRS, SQL, Azure
Role Summary: Data Architect responsible for defining and governing Azure-based data architecture, supporting ETL modernization, analytics, and reporting, while working closely with Data Engineering, BI, and Data Science teams.
Key Responsibilities
  • Collaborate with Solution & Enterprise Architects to translate business requirements into scalable data architecture designs.
  • Define end to end data architecture across ingestion, storage, processing, analytics, and reporting.
  • Provide architectural oversight for ETL/ELT solutions using Azure Data Factory, Databricks, Informatica, SSIS.
  • Guide ETL automation, monitoring, and DevOps/DataOps best practices (implementation by engineers).
  • Define and govern analytics & reporting architecture using Power BI, SSRS, and enterprise data models.
  • Ensure data security, governance, and PHI compliance across platforms.
  • Partner with Analytics, Reporting, Data Science, and ML teams to enable downstream use cases.
  • Participate in Agile delivery and provide architecture input during planning and design phases.
Required Skills
  • 12+ years in data engineering / data platform roles with architecture responsibility
  • Strong experience with Azure data technologies (ADF, ADLS, Synapse, Azure SQL)
  • Solid understanding of ETL/ELT, data modeling, and data warehousing
  • Experience with Power BI, exposure to SSIS / SSRS
  • Proficiency in SQL and architectural familiarity with Python
  • Healthcare (Payer / Provider) experience preferred
Nice to Have
  • Exposure to AI/ML enablement (data preparation, ML-ready architectures)
  • Snowflake or lakehouse architecture experience
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91009966
  • Position Id: 2026-30194
  • Posted 5 hours ago
Contact the job poster
MR

Martin Raj Selvaraj

Recruiter @ Cloudious
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